Optimization Strategies for Machine Tool Spindle-Bearing Systems: A Critical Review

1992 ◽  
Vol 114 (2) ◽  
pp. 244-253 ◽  
Author(s):  
J. A. Brandon ◽  
K. J. H. Al-Shareef
Keyword(s):  
Signal Processing ◽  
Machine Tool ◽  
Machine Tools ◽  
High Performance ◽  
Optimization Theory ◽  
Early Research ◽  
Research Activity ◽  
Spindle Bearing ◽  
Machine Tool Spindle ◽  
The Subject

After a period of relative quiescence, optimization of the design of high performance machine tools has become the subject of considerable recent research activity. Advances in the general areas of optimization theory and signal processing have enabled effective solutions to problems regarded as intractable by earlier analysts. There is, however, a danger that valuable early research may be discounted or overlooked when there is a substantial period of dormancy in a discipline. The survey links early work with current activity in the optimization of machine tool spindle bearing systems.

scholarly journals The bearing parallel misalignment running model–based machine tool spindle thermal error analysis

2018 ◽  
Vol 10 (6) ◽  
pp. 168781401877862
Author(s):  
Yanfang Dong ◽  
Zude Zhou ◽  
Lihai Chen
Keyword(s):  
Machine Tool ◽  
Significant Influence ◽  
Thermal Error ◽  
Simulation Method ◽  
Contact Angles ◽  
Empirical Methods ◽  
Spindle Bearing ◽  
Machine Tool Spindle ◽  
Contact Loads ◽  
Parallel Misalignment

As a key component of the machine tool spindle, bearing has critical influences on the spindle thermal error. In particular, the installation errors of bearing have considerable effects upon the spindle thermal error by altering the bearings’ internal contact angles, contact loads, and friction torques for different ball positions, but have yet to be fully elucidated. In this article, the influence of installation errors on the resulting spindle thermal error was evaluated using both empirical methods and simulation method, with the ultimate aim of reducing installation error. Deviations within the bearing support were used to simulate bearing parallel misalignment; bearing parallel misalignment running model was built, and an analysis and comparison of various conditions were used to determine the influence, showing that the parallel misalignment has significant influence on the spindle Z direction thermal error.

Multi-objective Optimization of Machine Tool Spindle-Bearing System

2020 ◽  
Vol 21 (10) ◽  
pp. 1885-1902
Author(s):  
Van-Canh Tong ◽  
Jooho Hwang ◽  
Jongyoup Shim ◽  
Jeong-Seok Oh ◽  
Seong-Wook Hong
Keyword(s):  
Machine Tool ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Spindle Bearing ◽  
Machine Tool Spindle ◽  
Bearing System

Research on High Performance Direct-Driving Motor Applied to Swivel Spindle Head

2014 ◽  
Vol 701-702 ◽  
pp. 874-878
Author(s):  
Shao Hsien Chen ◽  
Chin Mou Hsu ◽  
Kuo Lin Chiu ◽  
Chu Peng Chan
Keyword(s):  
Renewable Energy ◽  
Machine Tool ◽  
Machine Tools ◽  
High Performance ◽  
Cnc Machine Tools ◽  
Cnc Machine ◽  
Positional Accuracy ◽  
Maximum Torque ◽  
Five Axis

Swivel spindle head is a key component used in five-axis machine tool of high performance and is of great importance in application and design. Nowadays, more and more components are manufactured by high performance multi-axis CNC machine tools, such as components of spaceflight, renewable energy and automobile, etc. Therefore, high performance machine tools of multiple axes are more and more urgently demanded, while Swivel spindle head is one of the most important components for a multi-axis machine tool. Hence, Swivel spindle head is one of the key to developers multi-axis machine tool . The study explores the highly responsive direct-driving motor able to drive the spindle head to rotate with multi-driving rotary technology. The dual-driving motor rotates via multi-driving units, generates torsion that magnifies and eliminates its clearance, and then drives the spindle head to rotate. Results of the test show that the completed machine tool can meet the standards of dual axis rotary head with high preformation in, no matter, speed, distance, positional accuracy, repeated accuracy or maximum torque, etc.

A Digital Twin of Multi-Axis Machine Tool for Micro Process Planning

2020 ◽  
Author(s):  
Fumiki Tanaka
Keyword(s):  
Machine Tool ◽  
Process Planning ◽  
Machine Tools ◽  
High Performance ◽  
Production Systems ◽  
Planning System ◽  
Digital Twin ◽  
Virtual Machining ◽  
Process Planning System ◽  
Case Data

Abstract Achieving high performance of machining production systems requires the use of multi-axis machine tools. In order to maximize the performance of multi-axis machine tools, micro process planning for creating machining data is important. Many researches on micro process planning mainly focused on 3-axis machining. As promising approaches among them, a micro process planning system was proposed that reuses actual machining cases and analyzes case data to derive the necessary rules. However, it is not always effective for multi-axis machining, because enough case data are not collected for micro process planning of a specific multi-axis machine tool. In this study, a digital twin of multi-axis machine tool in cyberspace is proposed to collect real and virtual machining case data for micro process planning.

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